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31 Mar 2017 ... An Android app to extract text from camera preview directly. - DevipriyaSarkar/ OCR -Reader. Collaborative learning is a business practice that is aimed at discovering explicit and tacit collaboration tools, processes and knowledge, experimenting with them and creating new knowledge from them (Digenti, 1999) It employs experimentation, methods and approaches that emerge from the preset situation and allows organisations to move across boundaries uidly (Digenti, 1999) This ensures that the learning from a group, which can also be a construction project team, is transferred back to the organisation (Kamara et al, 2003) This is discussed in greater detail in 4 A learning history is a process for capturing usable knowledge from an extended experience of a team and transferring that knowledge to another team that may be distant in terms of context (Dixon, 2000) Kamara et al (2003) argue that although construction projects and the teams that implement them are unique, the team structure, processes and skills involved in these projects are similar, and these provide the opportunity for the reuse of knowledge Using the concept of learning history, the learning of one team (from critical events on a project) can therefore serve as a catalyst to a similar team to deal with issues in a different context (Kamara et al, 2003) Hard concepts The hard concepts include the available ICT applications that are currently being used in the construction industry, particularly project extranets, work ow management tools and other groupware applications for collaborative working (Kamara et al, 2003) Project extranets are dedicated Web-hosted collaboration and information spaces for the architectural, engineering and construction industry that support design and construction teams (Augenbroe et al, 2002; Kamara et al, 2003) Utilising Web-based technology, project extranets allow distributed team members to collaborate, as well as to share, view and comment on project-relevant information without the eed to meet in one location (Kamara et al, 2003) Kamara et al (2003) argue that the. bangla ocr android: See and Understand Text using OCR with Mobile Vision Text API for ... ocr in android studio github ocr - android · GitHub Topics · GitHub
Simple Android application for image recognition on photos. android photos ... Android App to perform OCR using Google's Mobile Vision API. android -app ... ocr scan app android free Mobile OCR Engine for Android [Technology Portal] - ABBYY OCR ...
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Currently only available in the linear barcode label software . application can be supplied with the purchase of a .Related: ISBN Generation Word , Interleaved 2 of 5 Creating .NET WinForms , Printing EAN 128 Java Using Barcode encoder for .NET Control to generate, create barcode image in isual Studio .NET applications. live capture and reuse of project knowledge Text .Hearst (1999) adds that text mining may aid the discovery of unknown information or the nding of answers to questions for which the answer is not currently known Text mining may involve nding the unexpected patterns and trends among text articles or information (Hearst, 1999) Issues and capability to support live capture and reuse of project knowledge Text mining is mainly concerned with searching for and identifying unexpected trends, and unknown information and knowledge ts main purpose is the support of the knowledge discovery process in large document collections (Karanikas and Theodoulidis, 2002), where knowledge captured in other formats (eg drawings and video clips) are ignored Furthermore, it has been suggested that text mining technology is still undermined by the inability of computers to understand text as humans do and in sorting out ambiguous words (Leong et al, 2004).Related: (see Section 63 for details of the workshop and the feedback received) The user interfaces were then re ned based on the feedback received Subsequently, the working versions of the interface were developed using VWD The user interfaces and associated programme codes were developed for the following tasks and associated challenges Capturing knowledge Challenge: The design of the knowledge capture user interface and associated functions was geared towards minimising the need for reentering duplicate information This is critical in order to reduce the creation of additional workload to the users A le upload function was also to be created for users to upload relevant documents and image les Related to this, the programme codes written also must be able to prevent the accidental overwriting of existing le with a similar le name Solution: A number of dropdown menus were created on the user interface for capturing knowledge to avoid the need for re-entering information, such as project details, and ifferent categories and types of knowledge (see Figure 62) These dropdown menus were linked to the respective tables in the database They will be automatically updated with the changes made to the information in the database Furthermore, the programme codes were written to automatically capture information such as the date of submitting. 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